Instructions to use digitalbrain79/juggernaut-xl-lightning-4step-controlnet-coreml-6bits-compiled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digitalbrain79/juggernaut-xl-lightning-4step-controlnet-coreml-6bits-compiled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digitalbrain79/juggernaut-xl-lightning-4step-controlnet-coreml-6bits-compiled", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: openrail++ | |
| tags: | |
| - sdxl | |
| - coreml | |
| - stablediffusion | |
| - juggernaut | |
| library_name: diffusers | |
| Converted [Juggernaut XL](https://civitai.com/models/133005/juggernaut-xl?modelVersionId=357609) to CoreML for ControlNet. | |
| ## Usage | |
| [https://github.com/digitalbrain79/diffusers_coreml.git](https://github.com/digitalbrain79/diffusers_coreml.git) |